J. W. Grzymala-Busse and Ming Hu, “A Comparison of Several Approaches to Missing Attribute Values in Data Mining,” Lecture Notes in Artificial Intelligence, Vol. 2005, Springer Verlag, Berlin, 2000, pp. 378-385.

has been cited by the following article:

• TITLE: Rough Mereology as a Tool for Knowledge Discovery and Reasoning in Intelligent Systems: A Survey

  AUTHORS: Lech Polkowski

  KEYWORDS: Knowledge Engineering; Rough Mereology; Granular Computing; Data Mining; Intelligent Robotics

  JOURNAL NAME: International Journal of Intelligence Science, Vol.3 No.1A, March 29, 2013

  ABSTRACT: In this work, we present an account of our recent results on applications of rough mereology to problems of 1) knowledge granulation; 2) granular preprocessing in knowledge discovery by means of decision rules; 3) spatial reasoning in multi-agent systems in exemplary case of intelligent mobile robotics.